NDLI: Speech enhancement based on a novel weighting spectral distortion measure

Content Provider	IEEE Xplore Digital Library
Author	Feng Bao Mao-shen Jia Chang-chun Bao Hui-jing Dou
Copyright Year	2014
Description	Author affiliation: Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China (Feng Bao; Mao-shen Jia; Chang-chun Bao; Hui-jing Dou)
Abstract	In this paper, we propose a speech enhancement scheme by only using a priori codebook of speech spectral shapes based on a novel spectral distortion measure. The noise signal is estimated by Minima Controlled Recursive Averaging (MCRA) algorithm instead of using noise spectral shapes stored in trained codebooks. Then, combining with the cross-correlation between the spectra of noisy speech and noise, a weighting spectral distortion measure is proposed for optimizing the spectral shapes and the spectral gains of speech and noise. In order to ensure the smooth of speech spectrum, the line spectrum frequencies (LSF) that describe speech spectral shapes are interpolated linearly. While a priori signal to noise ratio (SNR) information is also contributed to further suppress the noise energy. Finally, the noisy speech is passed through the reconstructed Wiener filter to obtain the enhanced speech. The objective tests show that the proposed method has better performance in restraining the fluctuated background noise than the conventional codebook-based method to a large extent.
Starting Page	1
Ending Page	4
File Size	208680
Page Count	4
File Format	PDF
ISBN	9786163618238
DOI	10.1109/APSIPA.2014.7041522
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-09
Publisher Place	Cambodia
Access Restriction	Subscribed
Rights Holder	Asia-Pacific Signal and Information Processing Ass
Subject Keyword	Spectral shape Wiener filter Noise Spectral distortion measure Speech enhancement Speech Distortion measurement Noise measurement Priori codebook
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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